Summary of excel results

Chi-Square ANOVA

Chi-Square Test of Independence

The research question examined was if regions and the percentage of uninsured motorists are related ' The hypotheses tested were

H0 : Percent-uninsured motorists are independent of region

H1 : Percent-uninsured motorists are dependent on region ?2 (3 , N 51 8 .00 ,

.046 . Since the p-value is less than 0 .05 therefore , the null hypothesis is rejected . The difference is statistically significant . There is a difference in the percentage of uninsured motorists depending on region . In other words , regions and the percentage of uninsured motorists are related

p ANOVA

The research question examined was Is there a difference in the percentage of uninsured motorists between northeast , Midwest , southeast and west regions ' The hypotheses tested were

H0 : The means are all equal

H1 : The means are not all equal

The results of the test were statistically significant , F (3 , 47 4 .45 br

.008 . Since the p-value is less than 0 .05 , therefore , the null hypothesis is rejected there are differences in the percentage of uninsured motorists among the four regions

Post-Hoc Multiple Comparison (LSD ) Tests

n

F

F

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w

- v

w

x

y

o /oo

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b

the percentage of uninsured motorists between northeast and Midwest southeast and west , and Midwest and west regions . Thus , the results of the test found that southeast region differed significantly on percentage of uninsured motorists compared to northeast and Midwest regions , and west region differed significantly on percentage of uninsured motorists compared to northeast region

In conclusion , there is...